Econometrics Puns

As I'm primarily a python user, I'm not aware of all the packages that R can offer. The job that I'm doing as a DS requires me to use many statistical tests and models on time series data and I'd like to run that in R as it is already equipped with all the statistics I'll need and would cut me some time that I'd lose making it work in python.

Some package and/or model suggestions would be kindly appreciated. Thanks!

EDIT: All suggestions in one place

Tidyquant

ivreg - instr variables

ggeffects - visualization

matchIt - propensity score matching

vars - vector autoregression

plm - panel data

fable, fable.tools, tsibble, fable.prophet - forecasting

vars - multivariate series analysis

fixest

glm

The academic advisor suggests that I could transfer my degree from Commerce to Department of Economics. So I have to choose a major which belongs to School of Economics. I decided to study Finance as my major, now I need to choose either Economics or Financial Economics as my second major.

Could you please give me some advice and guidance on these the majors under the Department of Economics? What's the difference between these majors, economics, econometrics & financial economics? If I study Finance, which one is better to match with my major?

Thank you for your suggestion in advance!~~

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Following from a comment I saw in a previous question, is econometrics a reliable means of building models for algorithmic trading?

I don't know anything about econometrics and I want to know if the time investment is worth it?

Is there a noteable difference between teaching and content in Sem 1 and 2 for Metrics 2?

I found Metrics 1 pretty hard and I know that Metrics 2 is a step up, so want to give myself the best chance possible.

Any experiences would be appreciated thankyou!

Hi,

I have a year variable and an Emission factor variable. The year variable runs from 2016 to 2030. The emission factor variable has values from 2016 to 2019 and values for the years 2022, 2027, and 2030. I don't think so running a normal regression would work and I cannot think of any other model which can allow me to predict values for the year 2020, 2021, 2023, 2024, 2025, 2026, 2028 and 2029.

Due June 26 -12:00 PM EST.

8 multi-part questions and open-book (will provide pdf download links to textbooks if needed). It is fairly difficult so I would like you to answer one sample question first to have an idea about your expertise. Topics in the test include but are not limited to:

1. Regression models
2. Time series models
3. Ordinary Least Squares (OLS)
4. Estimators
5. Heteroskedacity

The test is originally designed to be completed in 3 hours but you can start as soon as we confirm the job. It requires both calculations and thorough explanations. Please comment on this post before sending a message. Hope someone here can help me. Thanks!

I am currently taking econometrics one and i have to make a proyect, by project i mean a model with theory supporting the regression. I looked for several but could not find any that was simple, withe theory supporting or with easy to access data and the ones that i was able to make had desappointing results.

1st estimate car sales based on WTI price, interest rates, personal income. Problems low r2, heteroskedasticity. 2nd gdp based on unemployment, population, and corporate profit. Low r2

3 estimate alcohol consumption based on alcohol cpi, personal income, population and spending on leisure goods. The coefficient of population was negative.

I dont know what else to do or look for. I dont know if i have to change my model and start from zero.

Any advice, recommendations, ideas will be highly appreciated

I took Econ Stats last semester and I barely passed. I’m taking Econometrics and Micro Theory in the fall. How tough are they? Also, should I bother buying the textbook? Didn’t use mine for stats at all last semester

I'm interested to dive deeper into econometrics. Can you give me some useful resources where I can learn more about it? I mostly use Python and R.

Hello, I’m currently a third year statistics Major at my university whose minored in economics. I have finished my economics minor, taking courses such as basic macro/micro, intermediate micro, sports economics, and money and banking.

In my statistics program, I have taken courses such as introductory probability, statistical inference, calculus up till multivariable calculus, and will be taking in the future:

Linear Algebra, Two semesters of regression analysis, Bayesian statistics, introductory time series analysis, experimental design, statistical machine learning, R programming, introductory proof based math, and two semesters of real analysis.

I plan on doing an MS in statistics after I graduate, but after this I am on the fence of doing a PhD in statistics. Quite frankly, I just don’t know if I could handle so much theoretical proof based math in a stats phd, and I’ve been considering alternative degrees.

One that came to mind was a PhD in Economics, or maybe even something more specialized PhD in Econometrics (do these exist?). I’m very much a quantitative thinker, but I’m not very much into underlying statistical theory as opposed to applying such theory to a domain, and econometrics has been something I’m interesting in.

My questions are:

1. Do Phd In Economics and PhD in Econometrics exist as two separate programs? If not can I specialize within econometrics in an Economics PhD program?

2. What are the pre requisites for Phd Economics programs? (Or econometrics) Without taking econometrics courses before, or even a ton of economic theory courses, can a MS statistics prepare me?

3. How have PhD in Economics/Econometrics helped you all in terms of jobs? I want to work within data science space or more specifically within a research role where I can apply statistical methods. What kinda jobs have you landed after a PhD in econometrics or economics?

4. Can I go into a PhD econ program without a ton of econ domain knowledge? Like I said I’ve only taken Ap Economics and then those courses in my minor, I’m banking on knowledge from tiem series analysis and regression and my stats classes to help me.

Flunked econometrics, statistics, and calculus. That said I am very interested in an honest discussion of the silver events of the 24 hours in the silver world on June 17th. My poor skills analysis and assumptions:

2021 Annual Silver Mine Production (all mines) 800,000,000 ounces mined - Equals 4,000,000 ounces mined per business day

Paper Ounces Sold on June 17th:

Comex Options and futures ounces sold (1 day) 1,000,000,000 oz

SLV paper and futures oz sold (1 day) 100,000 oz

(please check math on slv futures)

Broker Dealer CPDs, and other exotic sales: unknown

So - on a daily basis miners processed 600,000 tons of ore to produce 4,000,000 oz of product and the Silver Cartel sold 1,1000,000,000 oz into the market in one day to crush the price, 300 to 1 ratio of paper silver sold to shinny silver produced.

Draft work in progress: Please link or redo, steal and make better

Goal is for Apes to have good data

Can someone please share the slides of ECOM20001? Thanks in advance.

Hi everyone, please comment here and dm me your details. I will forward the entire syllabus, plus 2 20 min mock exams to you so you know how hard it'll be. All details via whatsapp :) let me know

College level econometrics exam. Includes random variable, probability and stats.

Hello! 👋

Just wondering if anyone has a suggestion on choosing Econometrics electives?

I have done Econometrics 1 and intended to enrol on Econometrics 2. But I heard someone saying that Econometrics has become more difficult this year, is that the case?

Also, has anyone took Time Series Analysis and Forecasting and Applied Microeconometric Modelling before? Could you give some of your opinions on those subjects? Are these two subjects more tough compared to Econometrics 2? Many thanks!!!

Hi,

I'm an undergraduate student who is so passionate about economics and specifically applied economics. Already took some courses in modeling and econometrics, and I am going to complete this journey by myself or what they call "self-study" :)

I just read a great book discussing some issues in applying metrics, and I'd really recommend it to anyone who doesn't read it yet. It's well-known and it's called [Mastering Metrics]

This is the only book I read it in this discipline.

Please provide me with some materials that will help me to build a systematic knowledge in this field. Doesn't matter if it takes years or months.

Thanks in advance 🙏🏻

Hi all,

Someone might have asked the same question, if that is the case, I apologise for being a finger prince.

At the moment, it has been more than 2 years since I graduated from my uni so my mathematical & statistical understanding of econometric models (such as VAR, VECM) started fading away. I have been Googling around to find some materials for revision but haven’t been successful yet.

I am hoping if anyone could recommend me any textbooks or materials that I can refresh my knowledge on modelling, maths and statistics related to Econometrics.

Thanks! And stay safe :)

Background: over the course of iCarly, Carly Shay has gone through multiple boyfriends and love interests, as evidenced by this video. She's broken up with many people too, as evidenced here. Reading the comments, however, leads to horrifying insights.

"Carly is so shallow"

"Carly clearly has a type, and they all look like Freddie"

Now, this is the insight that any introductory economics student would make. This is a simple regression, perhaps logistic, of the probability of Carly dating a guy on a vector of his characteristics: hair color, height, muscle size, hobbies, talents, the number of competitors you have on the dating market, et cetera. However, this analysis is insufficient for gleaning the proper mechanisms behind why Carly dates whom she dates. Even if we add a lot of controls (and have enough data to avoid collinearity), instrument to fix reverse causality (the potential of dating Carly causes guys to change their characteristics), all we get are treatment effects: we don't have structural insights into why Carly chooses and breaks up with the guys she does, because those internal motivations are unobservable to the econometrician.

Dating is a dynamic decision-making process, and in our econometric analysis, we need to take that into account. Guiding our econometrics using economic theory will let us take account of Carly's aforementioned unobservable motivations. So let us proceed.

In each period t, Carly has two actions: she can choose to date a guy or not. Her action a gives her, in each period, utility U, which is composed of two additively separated components: u and epsilon.

u is a "direct" utility function that is affected by the characteristics of the guy she dates (assuming that she chooses to date him), the number of times she has dated him, and the utility parameters she places on those characteristics. The characteristics are represented by e, the parameters are represented by theta, and n is the number of times she has dated the guy in the past.

Epsilon are Type 1 Extreme Value, i.i.d. utility shocks in each period. There are epsilon shocks for when Carly chooses to date guys of certain characteristics, and epsilon shocks for when she chooses not to date. We normalize u = 0 when she chooses not to date.

All-in-all, during the dating process, this is what her utility looks like.

Hello!

Contact me for help with your summer Econometrics, Statistics, Economics and Maths classes, Hws, Labs, assignments, projects, and midterm/Final Exams.

I can work on your data analysis using: R, STATA, Excel, and SPSS.

I have a 5 year experience on these courses with vouches. See here: https://imgur.com/a/QOYXIAN

I can avail more vouches and sample of my work via my Private Discord server! (Link to be Dmmed upon request).

Ps. DM we schedule for your class, Exam, assignments in advance.
you're also invited to join our Discord server: https://discord.gg/3vM9mR8mpP

Contact me via:

Discord: EconStats_Tutor#4002

Text/WhatsApp: +1 (518) 990 7055

Email: leonardbrandon78@gmail.com

Thank you!

Is econometrics a particularly hard subject? Or is it doable? I didn’t mind quantitative methods so if it’s anything like that it’d be good.

I have a close look at the handbook and course requirements of economics-related majors and finally decide to major in econometrics! Could you please give me some advice on the experiences and feelings on learning econometrics? Is it difficult to pass?

Besides, I was wondering whether I should match it with Business Analytics (BA) or Financial mathematics&statistics or Statistics as my second major. Which ones are better for career opportunities? I would appreciate some advice!

Hi! I'm looking for Introductory Econometrics / Jeffrey M. Wooldridge, Mokhtarul Wadud, Jenny Lye, Roselyne Joyeux 2nd edition

ISBN 9780170439534

If anyone could help it would be greatly appreciated :) thanks

Need Affordable expert Help with your Class, Assignment or Exam? Hi, I am a proactive tutor with vast experience in analysis and essay writing. Let me take care of your entire class so you can focus on what's important in your life right now. Yes, if you are having trouble balancing your busy life schedule with taking online classes, you can pay someone to take your online class for you. Whether you need help passing just one exam, completing a single homework assignment, or even an entire class, you can pay someone to take your online class to pass with a guaranteed A or B! Unemployed geeks are top-notch and we will accommodate any budget with our flexible payment plans. If you need help, kindly contact me so that we discuss more regarding your assignment, exam, class or, project. My team has majored in data analytics and its applications in Math,econometrics and stats tasks. Maths (Probability, Linear Algebra, Discrete Math and Ap and Bc Calc, Calculus 1-4, including vector analysis.) Statistics – basic intermediate and advanced stats, - including Stochastic modelling, Anova, heteroscedasticity, dummy variables, Arima and linear regression, Test for stationarity, Time series analysis (Garch models). Chapter 3, 4 and 5 of dissertations. Good at the following statistical packages, Stata 16, SPSS, R studio, Tableau, Programming (Java, Python and C++, Js and JQuery, MATLAB) Econometrics, using r studio to solve assignments, also handle exams. Discord: proff Watson#1315 Personal Email: writershub101@gmail.com

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Hi! I have the exam already and am asking for someone willing to explain the solutions they arrive at since the explanations are the majority of the grade.

MUST BE WILLING TO COMPLETE A PROBLEM TO VERIFY YOU CAN COMPLETE THE TEST

Can anyone recommend a good set of course notes or online syllabus that I can follow for a graduate level treatment of Panel Data econometrics?

I'm an BBA undergrad, started my penultimate year, majoring in Finance. I first saw Robert Shiller using econometrics in this finance course I did a few months ago and was wondering if devoting my time to learning it would be helpful in my case in any way? If yes, then what's the best place(online course/youtube etc) to start?

Extra details: I'll be writing CFA after I'm done with undergrad (2023)

Hello everyone,

last year i finished my bachelor in economics and social science. Since then it has been constant struggle for me to find out what i want to do in life.

My original plan was to do a master in economic policy consulting (there is a master program an my uni) but in the end I stepped away from this idea, cause I dont think it fits me well and maybe doesnt increase my chances of finding a job,

After checking my options and realising, that i want to have a big quantitative part in my job, I´m left with two options: Doing a second bachelor in data science (DS) or starting a master program in Econometrics (ECON). They offer a master in DS too, but I´m missing some points in CS, to get accepted.

During my bachelor a I had three lectures in statistics, which i all passed with 1,x (I´m from europe btw). I didnt take a course in econometrics then, cause I didnt think I´ll ever need it. Last few months I started to teach myself with Data Camp some R, Python and SQL.

I kind of tend to go with the master in ECON, cause

1. Its one year shorter
2. It builds up on my economics knowledge, where in DS-bachelor I´d probaly not use it that much
3. I can specialize in some intresting fields, f.e. risk management. I try to get an intership in risk management right now, but I guess I wont get an offer.
4. I read somewhere, that its possible to switch over from ECON to DS in your career, cause the skills you learn in ECON are pretty transfarable. So even if I dont do the bachelor, I`d still be able to beome somewhat of a data scientist/analyst.

For me its important to build a solid, well paying career upon my next degree, so I want to make sure I choose the right direction. After my degree I just want a normal job, maybe at a bank or insurance company. Right now I work for an insurance company (not related to my studys) and like it alot.

I´d like to know what you think about my situation. What advantages and disadvantages does each have? What would you choose ?

Hi!

I’m excited to start a PhD in neuroeconomics this fall - and looking to prepare a bit over the summer with a few great textbooks, since I never really went deep into mathematics on my bachelor or master. Honestly I’d also just love to get to know you guys better - I’m sure I’m going to need a place to vent/ask questions/connect in the next few years.

The PhD will use neuro/biometric data, but be centered around econometric modeling - significant parts of it within the reference point based micro-field.

I’d of course love suggestions on any well-rounded and well-written textbooks that you personally enjoyed, but if you have personal suggestions for books with a behavioral-Econ edge, that would be even better!

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Contact me for help with your summer Econometrics, Statistics, Economics and Maths classes, Hws, Labs, assignments, projects, and midterm/Final Exams.

I can work on your data analysis using: R, STATA, Minitab, Excel, and SPSS.

I have a 5 year experience on these courses and I can avail vouches and sample of my work ( be shared upon request).

Ps. DM we schedule for your class, Exam, assignments in advance.

Contact me via:

Discord: EconStats_Tutor#4002

Text/WhatsApp: +1 (518) 990 7055

Email: leonardbrandon78@gmail.com

Thank you!